RAG & GenAI Engineer - Python & LLM Pipelines

HCLTech
Greater London, UK
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Python (Programming Language) Systems Development Life Cycle Large Language Models Fastapi Restful APIs Software Version Control

Job description

HCLTech is seeking a skilled engineer to design, develop, and deploy scalable Python applications with robust RAG-based AI capabilities. You will build LLM-based solutions, including RAG pipelines and agentic workflows, and integrate RESTful APIs for cross-system communication.

The role spans the full SDLC, requiring collaboration with cross-functional teams to translate business requirements into robust technical solutions while upholding coding, testing, version control, and deployment

Requirements

HCLTech is seeking a skilled engineer to design, develop, and deploy scalable Python applications with robust RAG-based AI capabilities. You will build LLM-based solutions, including RAG pipelines and agentic workflows, and integrate RESTful APIs for cross-system communication.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:50 min

Simplifying generative AI deployments using the RagStack opinionated framework

David Leconte David Leconte +1 · World Congress 2024

3:33 min

Connecting frontends via a FastAPI proxy backend layer

Saoussen Chaabnia Saoussen Chaabnia · Europe 2026 Virtual

2:59 min

The danger of adopting default REST APIs

Stefan Priebsch · World Congress 2021

3:32 min

Fundamentals and limitations of large language models

Krzystof Czieslak · LIVE

38 sec

Introducing OpenRAG for custom data pipelines

Phil Nash · Coffee With Developers

1:42 min

Introduction to the fast API web framework

Sebastián Ramírez · World Congress 2022

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